Augmenting Phase Space Quantization to Introduce Additional Physical Effects
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Infinitely Many Star Products to Play With
DSF{40{01 BiBoS 01-12-068 ESI 1109 hep{th/0112092 December 2001 Infinitely many star products to play with J.M. Gracia-Bond´ıa a;b, F. Lizzi b, G. Marmo b and P. Vitale c a BiBoS, Fakult¨atder Physik, Universit¨atBielefeld, 33615 Bielefeld, Germany b Dipartimento di Scienze Fisiche, Universit`adi Napoli Federico II and INFN, Sezione di Napoli, Monte S. Angelo Via Cintia, 80126 Napoli, Italy [email protected], [email protected] c Dipartimento di Fisica, Universit`adi Salerno and INFN Gruppo Collegato di Salerno, Via S. Allende 84081 Baronissi (SA), Italy [email protected] Abstract While there has been growing interest for noncommutative spaces in recent times, most examples have been based on the simplest noncommutative algebra: [xi; xj] = iθij. Here we present new classes of (non-formal) deformed products k associated to linear Lie algebras of the kind [xi; xj] = icijxk. For all possible three- dimensional cases, we define a new star product and discuss its properties. To complete the analysis of these novel noncommutative spaces, we introduce noncom- pact spectral triples, and the concept of star triple, a specialization of the spectral triple to deformations of the algebra of functions on a noncompact manifold. We examine the generalization to the noncompact case of Connes' conditions for non- commutative spin geometries, and, in the framework of the new star products, we exhibit some candidates for a Dirac operator. On the technical level, properties of 2n the Moyal multiplier algebra M(Rθ ) are elucidated. 1 Introduction Over five years ago, Connes gave the first axiomatics for first-quantized fermion fields on (compact) noncommutative varieties, the so-called spectral triples [1]. -
Simulating Physics with Computers
International Journal of Theoretical Physics, VoL 21, Nos. 6/7, 1982 Simulating Physics with Computers Richard P. Feynman Department of Physics, California Institute of Technology, Pasadena, California 91107 Received May 7, 1981 1. INTRODUCTION On the program it says this is a keynote speech--and I don't know what a keynote speech is. I do not intend in any way to suggest what should be in this meeting as a keynote of the subjects or anything like that. I have my own things to say and to talk about and there's no implication that anybody needs to talk about the same thing or anything like it. So what I want to talk about is what Mike Dertouzos suggested that nobody would talk about. I want to talk about the problem of simulating physics with computers and I mean that in a specific way which I am going to explain. The reason for doing this is something that I learned about from Ed Fredkin, and my entire interest in the subject has been inspired by him. It has to do with learning something about the possibilities of computers, and also something about possibilities in physics. If we suppose that we know all the physical laws perfectly, of course we don't have to pay any attention to computers. It's interesting anyway to entertain oneself with the idea that we've got something to learn about physical laws; and if I take a relaxed view here (after all I'm here and not at home) I'll admit that we don't understand everything. -
Phase Space Quantum Mechanics Is Such a Natural Formulation of Quantum Theory
Phase space quantum mechanics Maciej B laszak, Ziemowit Doma´nski Faculty of Physics, Adam Mickiewicz University, Umultowska 85, 61-614 Pozna´n, Poland Abstract The paper develope the alternative formulation of quantum mechanics known as the phase space quantum mechanics or deformation quantization. It is shown that the quantization naturally arises as an appropriate deformation of the classical Hamiltonian mechanics. More precisely, the deformation of the point-wise prod- uct of observables to an appropriate noncommutative ⋆-product and the deformation of the Poisson bracket to an appropriate Lie bracket is the key element in introducing the quantization of classical Hamiltonian systems. The formalism of the phase space quantum mechanics is presented in a very systematic way for the case of any smooth Hamiltonian function and for a very wide class of deformations. The considered class of deformations and the corresponding ⋆-products contains as a special cases all deformations which can be found in the literature devoted to the subject of the phase space quantum mechanics. Fundamental properties of ⋆-products of observables, associated with the considered deformations are presented as well. Moreover, a space of states containing all admissible states is introduced, where the admissible states are appropriate pseudo-probability distributions defined on the phase space. It is proved that the space of states is endowed with a structure of a Hilbert algebra with respect to the ⋆-multiplication. The most important result of the paper shows that developed formalism is more fundamental then the axiomatic ordinary quantum mechanics which appears in the presented approach as the intrinsic element of the general formalism. -
Why So Negative to Negative Probabilities?
Espen Gaarder Haug THE COLLECTOR: Why so Negative to Negative Probabilities? What is the probability of the expected being neither expected nor unexpected? 1The History of Negative paper: “The Physical Interpretation of Quantum Feynman discusses mainly the Bayes formu- Probability Mechanics’’ where he introduced the concept of la for conditional probabilities negative energies and negative probabilities: In finance negative probabilities are considered P(i) P(i α)P(α), nonsense, or at best an indication of model- “Negative energies and probabilities should = | α breakdown. Doing some searches in the finance not be considered as nonsense. They are well- ! where P(α) 1. The idea is that as long as P(i) literature the comments I found on negative defined concepts mathematically, like a sum of α = is positive then it is not a problem if some of the probabilities were all negative,1 see for example negative money...”, Paul Dirac " probabilities P(i α) or P(α) are negative or larger Brennan and Schwartz (1978), Hull and White | The idea of negative probabilities has later got than unity. This approach works well when one (1990), Derman, Kani, and Chriss (1996), Chriss increased attention in physics and particular in cannot measure all of the conditional probabili- (1997), Rubinstein (1998), Jorgenson and Tarabay quantum mechanics. Another famous physicist, ties P(i α) or the unconditional probabilities P(α) (2002), Hull (2002). Why is the finance society so | Richard Feynman (1987) (also with a Noble prize in an experiment. That is, the variables α can negative to negative probabilities? The most like- in Physics), argued that no one objects to using relate to hidden states. -
Negative Probability in the Framework of Combined Probability
Negative probability in the framework of combined probability Mark Burgin University of California, Los Angeles 405 Hilgard Ave. Los Angeles, CA 90095 Abstract Negative probability has found diverse applications in theoretical physics. Thus, construction of sound and rigorous mathematical foundations for negative probability is important for physics. There are different axiomatizations of conventional probability. So, it is natural that negative probability also has different axiomatic frameworks. In the previous publications (Burgin, 2009; 2010), negative probability was mathematically formalized and rigorously interpreted in the context of extended probability. In this work, axiomatic system that synthesizes conventional probability and negative probability is constructed in the form of combined probability. Both theoretical concepts – extended probability and combined probability – stretch conventional probability to negative values in a mathematically rigorous way. Here we obtain various properties of combined probability. In particular, relations between combined probability, extended probability and conventional probability are explicated. It is demonstrated (Theorems 3.1, 3.3 and 3.4) that extended probability and conventional probability are special cases of combined probability. 1 1. Introduction All students are taught that probability takes values only in the interval [0,1]. All conventional interpretations of probability support this assumption, while all popular formal descriptions, e.g., axioms for probability, such as Kolmogorov’s -
Weyl Quantization and Wigner Distributions on Phase Space
faculteit Wiskunde en Natuurwetenschappen Weyl quantization and Wigner distributions on phase space Bachelor thesis in Physics and Mathematics June 2014 Student: R.S. Wezeman Supervisor in Physics: Prof. dr. D. Boer Supervisor in Mathematics: Prof. dr H. Waalkens Abstract This thesis describes quantum mechanics in the phase space formulation. We introduce quantization and in particular the Weyl quantization. We study a general class of phase space distribution functions on phase space. The Wigner distribution function is one such distribution function. The Wigner distribution function in general attains negative values and thus can not be interpreted as a real probability density, as opposed to for example the Husimi distribution function. The Husimi distribution however does not yield the correct marginal distribution functions known from quantum mechanics. Properties of the Wigner and Husimi distribution function are studied to more extent. We calculate the Wigner and Husimi distribution function for the energy eigenstates of a particle trapped in a box. We then look at the semi classical limit for this example. The time evolution of Wigner functions are studied by making use of the Moyal bracket. The Moyal bracket and the Poisson bracket are compared in the classical limit. The phase space formulation of quantum mechanics has as advantage that classical concepts can be studied and compared to quantum mechanics. For certain quantum mechanical systems the time evolution of Wigner distribution functions becomes equivalent to the classical time evolution stated in the exact Egerov theorem. Another advantage of using Wigner functions is when one is interested in systems involving mixed states. A disadvantage of the phase space formulation is that for most problems it quickly loses its simplicity and becomes hard to calculate. -
DISCUSSION SURVEY RHAPSODY in FRACTIONAL J. Tenreiro
DISCUSSION SURVEY RHAPSODY IN FRACTIONAL J. Tenreiro Machado 1,Ant´onio M. Lopes 2, Fernando B. Duarte 3, Manuel D. Ortigueira 4,RaulT.Rato5 Abstract This paper studies several topics related with the concept of “frac- tional” that are not directly related with Fractional Calculus, but can help the reader in pursuit new research directions. We introduce the concept of non-integer positional number systems, fractional sums, fractional powers of a square matrix, tolerant computing and FracSets, negative probabil- ities, fractional delay discrete-time linear systems, and fractional Fourier transform. MSC 2010 : Primary 15A24, 65F30, 60A05, 39A10; Secondary 11B39, 11A63, 03B48, 39A70, 47B39, Key Words and Phrases: positional number systems, fractional sums, matrix power, matrix root, tolerant computing, negative probability, frac- tional delay, difference equations, fractional Fourier transform 1. Introduction Fractional Calculus has been receiving a considerable attention during the last years. In fact, the concepts of “fractional” embedded in the integro- differential operator allow a remarkable and fruitful generalization of the operators of classical Calculus. The success of this “new” tool in applied sciences somehow outshines other possible mathematical generalizations involving the concept of “fractional”. The leitmotif of this paper is to highlight several topics that may be useful for researchers, not only in the scope of each area, but also as possible avenues for future progress. © 2014 Diogenes Co., Sofia pp. 1188–1214 , DOI: 10.2478/s13540-014-0206-0 Unauthenticated Download Date | 10/21/15 5:04 PM RHAPSODY IN FRACTIONAL 1189 Bearing these ideas in mind, the manuscript is organized as follows. Section 2 focuses the concept of non-integer positional number systems. -
Ballistic Electron Transport in Graphene Nanodevices and Billiards
Ballistic Electron Transport in Graphene Nanodevices and Billiards Dissertation (Cumulative Thesis) for the award of the degree Doctor rerum naturalium of the Georg-August-Universität Göttingen within the doctoral program Physics of Biological and Complex Systems of the Georg-August University School of Science submitted by George Datseris from Athens, Greece Göttingen 2019 Thesis advisory committee Prof. Dr. Theo Geisel Department of Nonlinear Dynamics Max Planck Institute for Dynamics and Self-Organization Prof. Dr. Stephan Herminghaus Department of Dynamics of Complex Fluids Max Planck Institute for Dynamics and Self-Organization Dr. Michael Wilczek Turbulence, Complex Flows & Active Matter Max Planck Institute for Dynamics and Self-Organization Examination board Prof. Dr. Theo Geisel (Reviewer) Department of Nonlinear Dynamics Max Planck Institute for Dynamics and Self-Organization Prof. Dr. Stephan Herminghaus (Second Reviewer) Department of Dynamics of Complex Fluids Max Planck Institute for Dynamics and Self-Organization Dr. Michael Wilczek Turbulence, Complex Flows & Active Matter Max Planck Institute for Dynamics and Self-Organization Prof. Dr. Ulrich Parlitz Biomedical Physics Max Planck Institute for Dynamics and Self-Organization Prof. Dr. Stefan Kehrein Condensed Matter Theory, Physics Department Georg-August-Universität Göttingen Prof. Dr. Jörg Enderlein Biophysics / Complex Systems, Physics Department Georg-August-Universität Göttingen Date of the oral examination: September 13th, 2019 Contents Abstract 3 1 Introduction 5 1.1 Thesis synopsis and outline.............................. 10 2 Fundamental Concepts 13 2.1 Nonlinear dynamics of antidot superlattices..................... 13 2.2 Lyapunov exponents in billiards............................ 20 2.3 Fundamental properties of graphene......................... 22 2.4 Why quantum?..................................... 31 2.5 Transport simulations and scattering wavefunctions................ -
Matrix Bases for Star Products: a Review?
Symmetry, Integrability and Geometry: Methods and Applications SIGMA 10 (2014), 086, 36 pages Matrix Bases for Star Products: a Review? Fedele LIZZI yzx and Patrizia VITALE yz y Dipartimento di Fisica, Universit`adi Napoli Federico II, Napoli, Italy E-mail: [email protected], [email protected] z INFN, Sezione di Napoli, Italy x Institut de Ci´enciesdel Cosmos, Universitat de Barcelona, Catalonia, Spain Received March 04, 2014, in final form August 11, 2014; Published online August 15, 2014 http://dx.doi.org/10.3842/SIGMA.2014.086 Abstract. We review the matrix bases for a family of noncommutative ? products based on a Weyl map. These products include the Moyal product, as well as the Wick{Voros products and other translation invariant ones. We also review the derivation of Lie algebra type star products, with adapted matrix bases. We discuss the uses of these matrix bases for field theory, fuzzy spaces and emergent gravity. Key words: noncommutative geometry; star products; matrix models 2010 Mathematics Subject Classification: 58Bxx; 40C05; 46L65 1 Introduction Star products were originally introduced [34, 62] in the context of point particle quantization, they were generalized in [9, 10] to comprise general cases, the physical motivations behind this was the quantization of phase space. Later star products became a tool to describe possible noncommutative geometries of spacetime itself (for a review see [4]). In this sense they have become a tool for the study of field theories on noncommutative spaces [77]. In this short review we want to concentrate on one particular aspect of the star product, the fact that any action involving fields which are multiplied with a star product can be seen as a matrix model. -
Weierstrass Transform on Howell's Space-A New Theory
IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 16, Issue 6 Ser. IV (Nov. – Dec. 2020), PP 57-62 www.iosrjournals.org Weierstrass Transform on Howell’s Space-A New Theory 1 2* 3 V. N. Mahalle , S.S. Mathurkar , R. D. Taywade 1(Associate Professor, Dept. of Mathematics, Bar. R.D.I.K.N.K.D. College, Badnera Railway (M.S), India.) 2*(Assistant Professor, Dept. of Mathematics, Govt. College of Engineering, Amravati, (M.S), India.) 3(Associate Professor, Dept. of Mathematics, Prof. Ram Meghe Institute of Technology & Research, Badnera, Amravati, (M.S), India.) Abstract: In this paper we have explained a new theory of Weierstrass transform defined on Howell’s space. The definition of the Weierstrass transform on this space of test functions is discussed. Some Fundamental theorems are proved and some results are developed. Weierstrass transform defined on Howell’s space is linear, continuous and one-one mapping from G to G c is also discussed. Key Word: Weierstrass transform, Howell’s Space, Fundamental theorem. --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 10-12-2020 Date of Acceptance: 25-12-2020 --------------------------------------------------------------------------------------------------------------------------------------- I. Introduction A new theory of Fourier analysis developed by Howell, presented in an elegant series of papers [2-6] n supporting the Fourier transformation of the functions on R . This theory is similar to the theory for tempered distributions and to some extent, can be viewed as an extension of the Fourier theory. Bhosale [1] had extended Fractional Fourier transform on Howell’s space. Mahalle et. al. [7, 8] described a new theory of Mellin and Laplace transform defined on Howell’s space. -
Memristor-Based Approximation of Gaussian Filter
Memristor-based Approximation of Gaussian Filter Alex Pappachen James, Aidyn Zhambyl, Anju Nandakumar Electrical and Computer Engineering department Nazarbayev University School of Engineering Astana, Kazakhstan Email: [email protected], [email protected], [email protected] Abstract—Gaussian filter is a filter with impulse response of fourth section some mathematical analysis will be provided to Gaussian function. These filters are useful in image processing obtained results and finally the paper will be concluded by of 2D signals, as it removes unnecessary noise. Also, they could stating the result of the done work. be helpful for data transmission (e.g. GMSK modulation). In practice, the Gaussian filters could be approximately designed II. GAUSSIAN FILTER AND MEMRISTOR by several methods. One of these methods are to construct Gaussian-like filter with the help of memristors and RLC circuits. A. Gaussian Filter Therefore, the objective of this project is to find and design Gaussian filter is such filter which convolves the input signal appropriate model of Gaussian-like filter, by using mentioned devices. Finally, one possible model of Gaussian-like filter based with the impulse response of Gaussian function. In some on memristor designed and analysed in this paper. sources this process is also known as the Weierstrass transform [2]. The Gaussian function is given as in equation 1, where µ Index Terms—Gaussian filters, analog filter, memristor, func- is the time shift and σ is the scale. For input signal of x(t) tion approximation the output is the convolution of x(t) with Gaussian, as shown in equation 2. -
Eigenfunctions and Eigenoperators of Cyclic Integral Transforms with Application to Gaussian Beam Propagation
NORTHWESTERN UNIVERSITY Eigenfunctions and Eigenoperators of Cyclic Integral Transforms with Application to Gaussian Beam Propagation A DISSERTATION SUBMITTED TO THE GRADUATE SCHOOL IN PARTIAL FULFILLMENT OF THE REQUIREMENTS for the degree DOCTOR OF PHILOSOPHY Field of Applied Mathematics By Matthew S. McCallum EVANSTON, ILLINOIS December 2008 2 c Copyright by Matthew S. McCallum 2008 All Rights Reserved 3 ABSTRACT Eigenfunctions and Eigenoperators of Cyclic Integral Transforms with Application to Gaussian Beam Propagation Matthew S. McCallum An integral transform which reproduces a transformable input function after a finite number N of successive applications is known as a cyclic transform. Of course, such a transform will reproduce an arbitrary transformable input after N applications, but it also admits eigenfunction inputs which will be reproduced after a single application of the transform. These transforms and their eigenfunctions appear in various applications, and the systematic determination of eigenfunctions of cyclic integral transforms has been a problem of interest to mathematicians since at least the early twentieth century. In this work we review the various approaches to this problem, providing generalizations of published expressions from previous approaches. We then develop a new formalism, differential eigenoperators, that reduces the eigenfunction problem for a cyclic transform to an eigenfunction problem for a corresponding ordinary differential equation. In this way we are able to relate eigenfunctions of integral equations to boundary-value problems, 4 which are typically easier to analyze. We give extensive examples and discussion via the specific case of the Fourier transform. We also relate this approach to two formalisms that have been of interest to the math- ematical physics community – hyperdifferential operators and linear canonical transforms.